English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 2h 30m | 501 MB
Shaun Wassell’s goal is to create a world where people are empowered to use programming as a way to solve meaningful problems—a world where writing code is just as natural for most people as walking or breathing. To help make this a reality, he has dedicated the past few years to helping people learn and master software-development skills through video courses, live training sessions, and one-on-one tutoring. Shaun has been programming since he was a kid, when creating video games was his gateway into the world of software. Since then, he’s been fortunate enough to be a contributing member on many amazing software projects and work with some incredible mentors along the way.
Table of Contents
Introduction
Generative AI Toolbox: Introduction
Lesson 1: Understand the Basic Concepts
Learning objectives
1.1 Learn basic terminology and concepts – Part 1
1.2 Learn basic terminology and concepts – Part 2
1.3 Understand the basic considerations for selecting a model
1.4 Get an overview of how the models are related
Lesson 2: Learn Text-Generation Models
Learning objectives
2.1 Learn the basics of text-generation models
2.2 Meet the models: ChatGPT
2.3 Meet the models: Claude
2.4 Meet the models: Gemini
2.5 Which one is best: An in-depth comparison
2.6 Learn basic prompt-engineering concepts for text generation
Lesson 3: Learn Image-Generation Models
Learning objectives
3.1 Learn the basics of image-generation models
3.2 Meet the models: Dalle
3.3 Meet the models: Midjourney
3.4 Meet the models: Imagen
3.5 Which one is best: An in-depth comparison
3.6 Learn basic prompt-engineering concepts for image generation
Lesson 4: Learn Code-Generation Models
Learning objectives
4.1 Learn the basics of code-generation models
4.2 Meet the models: Copilot
4.3 Meet the models: ChatGPT
4.4 Meet the models: Claude
4.5 Which one is best: An in-depth comparison
4.6 Learn basic prompt-engineering concepts for code generation
Summary
Generative AI Toolbox: Summary
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